EmoBench: Evaluating the Emotional Intelligence of Large Language Models

arXiv:2402.12071v1 Announce Type: new
Abstract: Recent advances in Large Language Models (LLMs) have highlighted the need for robust, comprehensive, and challenging benchmarks. Yet, research on evaluating their Emotional Intelligence (EI) is considerably limited. Existing benchmarks have two major shortcomings: first, they mainly focus on emotion recognition, neglecting essential EI capabilities such as emotion regulation and thought facilitation through emotion understanding; second, they are primarily constructed from existing datasets, which include frequent patterns, explicit information, and annotation errors, leading to unreliable …

arxiv cs.ai cs.cl emotional intelligence intelligence language language models large language large language models type